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While deployment flowcharts can be drawn by hand using pen and paper, various software tools include functionality to construct the flowcharts on computer. These include products such as Microsoft Visio. [5] As with other process mapping techniques, deployment flowcharts require a certain degree of detail (and accuracy) to provide useful benefit.
In 2011, the company started publishing its hosted service for the mxGraph web application under a separate brand, Diagramly with the domain "diagram.ly". [12]After removing the remaining use of Java applets from its web app, the service rebranded as draw.io in 2012 because the ".io suffix is a lot cooler than .ly", said co-founder David Benson in a 2012 interview.
A deployment diagram [1] "specifies constructs that can be used to define the execution architecture of systems and the assignment of software artifacts to system elements." [1] To describe a web site, for example, a deployment diagram would show what hardware components ("nodes") exist (e.g., a web server, an application server, and a database server), what software components ("artifacts ...
The refined representation of a process can be done in another data-flow diagram, which subdivides this process into sub-processes. The data-flow diagram is a tool that is part of structured analysis and data modeling. When using UML, the activity diagram typically takes over the role of the data-flow diagram. A special form of data-flow plan ...
UML Diagrams used to represent the development view include the Package diagram and the Component diagram. [2] Physical view: The physical view (aka the deployment view) depicts the system from a system engineer's point of view. It is concerned with the topology of software components on the physical layer as well as the physical connections ...
Google Cloud Dataflow was announced in June, 2014 [3] and released to the general public as an open beta in April, 2015. [4] In January, 2016 Google donated the underlying SDK, the implementation of a local runner, and a set of IOs (data connectors) to access Google Cloud Platform data services to the Apache Software Foundation. [5]
Google Cloud offers blue–green deployment capabilities through Deployment Manager. By defining resources in a declarative format, Deployment Manager allows users to create, update, and delete resources as part of a blue–green deployment process.
Google Cloud Platform is a part [8] of Google Cloud, which includes the Google Cloud Platform public cloud infrastructure, as well as Google Workspace (G Suite), enterprise versions of Android and ChromeOS, and application programming interfaces (APIs) for machine learning and enterprise mapping services.
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